Instructions to use Fantasy-Studio/Paint-by-Example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fantasy-Studio/Paint-by-Example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fantasy-Studio/Paint-by-Example", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d4b6212b19922e52b8af396e2a5c4a6b8ff7fc05a9d79e2321c991414e3b8c5
- Size of remote file:
- 1.47 GB
- SHA256:
- 296d26d0c844328727c58870e169183c0d23a6d82ecd3467a8484610f3be6146
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